Rheumatology algorithms for primary care physicians.
Primary care physicians were trained on three rheumatology topics to assess the effectiveness of an educational strategy for continuing medical education. Algorithm training was shown to be at least as effective as that based on standard prose monographs. Both training groups improved their knowledge of patient management skills but there were no statistically significant differences between groups in the amount learned. When algorithms were used to design text materials, the designed texts required less study time than did the annotated clinical algorithms alone. That difference was significant for the shoulder pain materials (P less than 0.05) but not for the osteoporosis materials. The ratio of knowledge gained to study time was significantly higher for the algorithm group on the low back pain topic (P less than 0.05) but not for the other topics. Taped interview problems tests were studied as a method for assessing patient management skills related to problem-specific indicator conditions and were found to produce interrater reliability greater than 0.80 on five of the six tests.
Ambrose
R F
RF
Kendall
L G
LG
Alarcón
G S
GS
Brown
S
S
Lipstate
J M
JM
Wirtschafter
D D
DD
Jackson
J R
JR
Glass
S
S
Rossi
K
K
Margolis
C Z
CZ
D002985:Clinical Protocols / Q000592:standards; D003663:Decision Trees; D004502:Education, Medical, Continuing / Q000592:standards*; D006801:Humans; D010821:Physicians, Family / Q000193:education*; D015397:Program Evaluation; D012219:Rheumatology / Q000193:education*